APA (7th ed.) Citation

Z, Z., G, L., Y, M., Z, W., S, P., S, C., & Y, W. (2025). GraphkmerDTA: Integrating local sequence patterns and topological information for drug-target binding affinity prediction and applications in multi-target anti-Alzheimer's drug discovery. Molecular diversity, 29(4), 3147. https://doi.org/10.1007/s11030-024-11065-7

Chicago Style (17th ed.) Citation

Z, Zhang, Luo G, Ma Y, Wu Z, Peng S, Chen S, and Wu Y. "GraphkmerDTA: Integrating Local Sequence Patterns and Topological Information for Drug-target Binding Affinity Prediction and Applications in Multi-target Anti-Alzheimer's Drug Discovery." Molecular Diversity 29, no. 4 (2025): 3147. https://doi.org/10.1007/s11030-024-11065-7.

MLA (9th ed.) Citation

Z, Zhang, et al. "GraphkmerDTA: Integrating Local Sequence Patterns and Topological Information for Drug-target Binding Affinity Prediction and Applications in Multi-target Anti-Alzheimer's Drug Discovery." Molecular Diversity, vol. 29, no. 4, 2025, p. 3147, https://doi.org/10.1007/s11030-024-11065-7.